3 citations · 5 across the 13 of their papers we have counts for
6 papers · 1 filter
RiskFly: Frustum-Aligned Spatio-Temporal Risk Fields for One-Stage Agile Flight in Dynamic Clutter
Luxia Ai, Haopeng Chen, Yuchao Mei +2
Agile flight in unknown, cluttered, and dynamic environments requires a planner that knows where and when danger will appear, not only that a trajectory is dangerous. One-stage lea…
Learning Beyond Full Imitation: Task-Preserving Knowledge Distillation
Qianfeng Yuan, Wenbing Tao
Knowledge distillation transfers knowledge by encouraging a student to match a teacher's predicted class probabilities. These probabilities express not only confidence in the corre…
Anticipatory Risk-Guided Reinforcement Learning for Safe Flight Through Dynamic Clutter
Yuchao Mei, Guohao Zhang, Luxia Ai +2
Safe quadrotor navigation in cluttered and dynamic environments depends not only on instantaneous geometric perception, but more critically on anticipating collision risks induced…
PET-DINO: Unifying Visual Cues into Grounding DINO with Prompt-Enriched Training
Weifu Fu, Jinyang Li, Bin-Bin Gao +6
Open-Set Object Detection (OSOD) enables recognition of novel categories beyond fixed classes but faces challenges in aligning text representations with complex visual concepts and…
ORMOT: A Dataset and Framework for Omnidirectional Referring Multi-Object Tracking
Zihan Zhou, Sijia Chen, Yanqiu Yu +2
Omnidirectional cameras provide 360° spatial coverage, making them increasingly valuable in applications such as autonomous driving and video surveillance. While Multi-Object Track…
DRMOT: A Dataset and Framework for RGBD Referring Multi-Object Tracking
Sijia Chen, Lijuan Ma, Shaofeng Liang +9
Referring Multi-Object Tracking (RMOT) aims to track specific targets based on language descriptions, playing a vital role in interactive AI systems such as robotics and autonomous…